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amp_tutorial

Short AMP tutorial done during Lenka and Florent's class at Duke

boltzmann.jl

Restricted Boltzmann Machines in Julia

dnner

Deep Neural Networks Entropy from Replicas

dukelecture2018

Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"

generalizedlinearmodel2017

Codes corresponding to the paper https://arxiv.org/abs/1708.03395

juliatutorials

A collection of Julia notebook tutorials and examples.

lowramp.jl

Low Rank Matrix factorization with Julia

mlcourse_2019

INTRODUCTION TO MACHINE LEARNING: An introductory practical course by Florent Krzakala and Antoine Baker

mlphys

Travaux Pratiques -- Machine Learning for Physicists

perturbative_mean_field_matrix_factorization

Code for the paper "Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising"

phaseretrieval_demo

Demonstration notebooks and code used for "Phase retrieval in high dimensions : Statistical and computational phase transitions"

sir_inference

spiked_matrix-tensor

Integrators for Langevin State Evolution equations on the spiked matrix-tensor problem.

spiked_matrix-tensor_t0

Solver of the gradient descent state evolution equation.

tramp

Tree Approximate Message Passing

tramp_notebooks

Notebooks to illustrate the tramp package

universality-cs-2019